Assigns each p-value to a category defined by a named list of
lower and upper bounds.
Usage
categorize_pval(p, pvalcat)
Arguments
- p
(numeric)
A vector of p-values to categorize. Missing values are
permitted.
- pvalcat
(named list)
A non-empty named list of p-value category
bounds. See h_normalize_pvalcat() for the required structure.
Value
A character vector of category labels, with one element per value in
p.
Details
Categories are evaluated in the order supplied by pvalcat. Bounds
are lower-inclusive and upper-exclusive, except that the upper bound of
the final category is inclusive. P-values that do not fall in a category,
including missing values, are returned as NA_character_.
Examples
pvalcat <- list(
"<0.001" = c(0, 0.001),
"0.001 to <0.05" = c(0.001, 0.05),
">=0.05" = c(0.05, 1)
)
categorize_pval(c(0, 0.001, 0.049, 0.05, 1, NA), pvalcat)
#> [1] "<0.001" "0.001 to <0.05" "0.001 to <0.05" ">=0.05"
#> [5] ">=0.05" NA
